sentence-transformers How to use vineet10/new_model_2 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("vineet10/new_model_2")
sentences = [
"Answer: Users can contact Customer Care before confirmation to request a refund for offline",
"single order?",
"a booking?",
"MOU?"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
